Display and analyze ROC curves in R and S+
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Updated
Jul 7, 2024 - R
Display and analyze ROC curves in R and S+
I use R to analyze survey data to position popular consumer electronics brands using Principal Component Analysis, uncovering key perceptual attributes and providing insights for targeted marketing strategies.
Aplikasi Shiny untuk mendemonstrasikan distribusi sampling berbagai macam statistik.
MSGARCH R Package
R package to perform regression-based Brown-Forsythe test
GWAS of trait variance (C++)
Data Fusion (open-access research monograph, 2015)
Kendall's Tau for Two-Sample Inference Problems
Variance Estimation for Sample Surveys by the Ultimate Cluster Method
R codes for Impact of Sampling Rate in Connectivity Analysis (Human Brain Mapping)
Precision estimation for the European Social Survey (ESS) including the estimation of variance, ICC and design effect.
Introduction to the R programming language.
Contains some Test of Statistics
Computationally efficient confidence intervals for cross-validated AUC estimates in R
R and RStudio, the main purpose of this analysis is to offer insights on the MechaCar's production to assist the manufacturing team using R.
R_basics Functions
R_basics
The purpose of this analysis is to offer insights on the MechaCar's production to help the manufacturing team using R.
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